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  2. Long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Long_short-term_memory

    Long short-term memory (LSTM) [1] is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem [2] commonly encountered by traditional RNNs. Its relative insensitivity to gap length is its advantage over other RNNs, hidden Markov models , and other sequence learning methods.

  3. Time aware long short-term memory - Wikipedia

    en.wikipedia.org/wiki/Time_aware_long_short-term...

    Time Aware LSTM (T-LSTM) is a long short-term memory (LSTM) unit capable of handling irregular time intervals in longitudinal patient records. T-LSTM was developed by researchers from Michigan State University, IBM Research, and Cornell University and was first presented in the Knowledge Discovery and Data Mining (KDD) conference. [1]

  4. Massachusetts Department of Transportation - Wikipedia

    en.wikipedia.org/wiki/Massachusetts_Department...

    Formerly an independent state entity, which until 1992 even had its own uniformed police force for vehicular traffic law enforcement, the Registry of Motor Vehicles Division is now directly administered by MassDOT. It is the equivalent of the Department of Motor Vehicles in most states, and processes driver's licenses and motor vehicle ...

  5. Department of motor vehicles - Wikipedia

    en.wikipedia.org/wiki/Department_of_motor_vehicles

    A department of motor vehicles (DMV) is a government agency that administers motor vehicle registration and driver licensing. In countries with federal states such as in North America, these agencies are generally administered by subnational entities governments, while in unitary states such as many of those in Europe, DMVs are organized ...

  6. Connectionist temporal classification - Wikipedia

    en.wikipedia.org/wiki/Connectionist_temporal...

    Connectionist temporal classification (CTC) is a type of neural network output and associated scoring function, for training recurrent neural networks (RNNs) such as LSTM networks to tackle sequence problems where the timing is variable. It can be used for tasks like on-line handwriting recognition [1] or recognizing phonemes in speech audio ...

  7. Gated recurrent unit - Wikipedia

    en.wikipedia.org/wiki/Gated_recurrent_unit

    Gated recurrent units (GRUs) are a gating mechanism in recurrent neural networks, introduced in 2014 by Kyunghyun Cho et al. [1] The GRU is like a long short-term memory (LSTM) with a gating mechanism to input or forget certain features, [2] but lacks a context vector or output gate, resulting in fewer parameters than LSTM. [3]

  8. Food Stamps: Massachusetts’ Benefits Schedule for ... - AOL

    www.aol.com/finance/food-stamps-massachusetts...

    SNAP recipients will also receive another big payment in December which includes the 12.5% cost-of-living adjustment (COLA) approved for 2023. The COLA for 2023 will run through Sept. 30, 2023 ...

  9. Electronic lien and title - Wikipedia

    en.wikipedia.org/wiki/Electronic_Lien_and_Title

    Louisiana: January 1, 2010 [5] Maryland: 2021 [citation needed] Massachusetts: 1997 [citation needed] Michigan: 2021 [citation needed] Nevada: October 1, 2016 [6] North Carolina: July 1, 2016 [7] Pennsylvania: July 1, 2008 [citation needed] South Carolina: 2007 [citation needed] Virginia: 2015 [citation needed] West Virginia: 2022 [citation needed]